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All Journal Tadris: Jurnal keguruan dan Ilmu Tarbiyah Online Learning in Educational Research Artificial Intelligence in Lifelong and Life-Course Education
Amukune, Stephen
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Computer Science & IT Education Social Sciences Other

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Journal : Online Learning in Educational Research

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Harnessing Digital Skills For Academic Success: Unveiling The Power of Learning Motivation in Computational Thinking and Tech Integration Rauf, Annajmi; Fakhri, M. Miftach; Fathahillah, Fathahillah; Surianto, Dewi Fatmarani; Baso, Fadhlirrahman; Arifiyanti, Fitria; Amukune, Stephen
Online Learning In Educational Research (OLER) Vol 4, No 2 (2024): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v4i2.501

Abstract

The workforce's demand for critical thinking and innovation highlights the need to improve students' problem-solving skills, thus encouraging educational institutions to adopt technology-based strategies for an engaging learning environment. Previous studies have explored the relationship between learning motivation and academic outcomes and the role of technology and web-based media in improving problem-solving skills. However, limited research has comprehensively examined the interaction between computational thinking, technology integration, learning motivation, and student performance. This study aims to examine how Computational Thinking (CT) and Technology Integration (TI) influence Learning Motivation (LM) and Student Performance (SP), providing insights into optimizing digital skills for academic success in the digital age. Data were collected from 426 respondents' university students in Indonesia randomly. A questionnaire with a 5-point Likert scale consisting of several variables such as Computational Thinking, Technology Integration, Learning Motivation, and Student Performance were used in this study. Then, the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to check the measurement and assessment model. The results showed that CT and TI positively and significantly impacted LM and SP. In addition, LM serves as an important mediator, strengthening the influence of CT and IT on academic outcomes. Specifically, technology integration has a greater impact on LM than CT, while LM significantly improves SP. This study presents a detailed framework for educators to enhance learning experiences by integrating digital skills and fostering student motivation. The findings offer practical implications for developing effective educational strategies that meet the changing demands of the digital age. Future research is recommended to investigate the long-term effects of CT and IT in various educational environments.
AI Literacy, Technical Skills, and Ethical Awareness in Predicting Students’ Learning Performance Jannah, Devi Miftahul; Huda, Syamsul; Yasin, Muhamad; Sanatang, Sanatang; Fakhri, M Miftach; Wahid, Syahid Nur; Kaswar, Andi Baso; Soeharto, Soeharto; Amukune, Stephen
Online Learning In Educational Research (OLER) Vol. 6 No. 1 (2026): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v6i1.565

Abstract

The increasing integration of AI systems into various sectors of the economy has also raised ethical concerns. Even as education in AI has developed to ensure that learners have the appropriate technical skills, the existing systems have failed to address the issue of ethics. As a way of addressing the problem, the current study aims at investigating learning about AI literacy and ethical reasoning. The author in this research applied the Partial Least Squares Structural Equation Modeling (PLS-SEM), from a questionnaire consisting of 400 university students (conducted of informatics and computer engineering department) to examine the relevance of AI literacy (AI-DAIB theories/basics), technical skills (TS), learning performance (LPER and EAI as moderating effect on AI perception (AIP). The findings found interesting result that AI literacy and technical skills have significant effects on learning performance and the moderating effect of AI ethics also increases the added value. This study indicates the need for a wider framework of all educational activities focusing on the development of technical skills, AI literacy and (semi)AI ethics to respond effectively to gaps in both development and moral responsibility of AI technologies
Co-Authors Adiba, Fhatiah Andi Baso Kaswar Andi Baso Kaswar Ardiansyah, Andi Imam Arifiyanti, Fitria Baso, Fadhlirrahman Dewi Fatmarani Surianto Edi Suhardi Rahman Fardan, Muhammad Fathahillah Fathahillah Intan Ramadhani Hasbullah Jannah, Devi Miftahul M. Miftach Fakhri Nurjannah, Elma Rauf, Annajmi S, Aprilianti Nirmala Sanatang Soeharto Soeharto Syamsul Huda Wahid, Syahid Nur Yasin, Muhamad